Enables searching, analyzing, and managing data packages in a Quilt data catalog through natural language, with 84+ tools including package CRUD operations.
Gives LLM agents access to local and remote data via databases, files, graphs, and structured documents, along with a full data science toolkit for analysis and modeling.
Enables AI-powered business intelligence and data analysis using pandas and LLM code generation. Supports automated data processing, statistical analysis, and visualization creation through natural language interactions.
Enables exploratory data analysis and machine learning on CSV datasets with tools for profiling, missing values, correlation, plotting, model training, and prediction.
Enables any MCP client to run a complete data-science pipeline on a CSV: exploration, cleaning, model comparison, training, tuning, and plain-language analysis. Exposes nine tools that turn raw data into trained models and reports.